Abstract
This work presents an approach to activate vehicle safety systems based on a pre-crash prediction. It focuses on the three major topics namely, crash validation, the geometry-estimation, and the crash severity and restraint strategy prediction. The topic of crash validation is administered by a proposal of a novel contact-based validation sensor along with the experimental investigations for comparison with other sensors.
Kurzfassung
In der Dissertation wird ein Ansatz zur Aktivierung von Fahrzeugsicherheitssystemen auf Grundlage einer Vorhersage vor einem Unfall vorgestellt. Die Arbeit konzentriert sich auf die drei Hauptthemen Crash-Validierung, Geometrie-Schätzung und Vorhersage der Crash-Schwere und Rückhaltestrategie. Das Thema der Crash-Validierung wird durch den Entwurf eines neuartigen kontaktbasierten Validierungssensors zusammen mit den experimentellen Untersuchungen zum Vergleich mit anderen Sensoren behandelt.
About the author
Dr.-Ing. Gerald Sequeira wrote his dissertation while working at Technische Hochschule Ingolstadt, CARISSMA Center of Automotive Research on Integrated Safety Systems and Measurement Area. In his research, Gerald Sequeira focuses on crash severity and safety action predictive for future global vehicle-safety systems with surrounding sensors.
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Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
Reference
[1] G. Sequeira , “Prediction based activation of vehicle safety systems - a contribution to improve to occupant safety by validation of pre-crash information and crash severity plus restraint strategy prediction,” in Fortschritt-Berichte VDI, Reihe 12, Nr. 817, Düsseldorf, VDI Verlag, 2022.10.51202/9783186817129Search in Google Scholar
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